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<p>This stopping criterion tracks the improvement of the error function of the training error over an interval of iterations.  
 <a href="classshark_1_1_training_error.html#details">More...</a></p>

<p><code>#include &lt;<a class="el" href="_training_error_8h_source.html">shark/Algorithms/StoppingCriteria/TrainingError.h</a>&gt;</code></p>
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  <img id="dynsection-0-trigger" src="closed.png" alt="+"/> Inheritance diagram for shark::TrainingError&lt; PointType &gt;:</div>
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<center><span class="legend">[<a href="graph_legend.html">legend</a>]</span></center></div>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:a4abe5741e99fa123c17d0fdda45f6b89" id="r_a4abe5741e99fa123c17d0fdda45f6b89"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_training_error.html#a4abe5741e99fa123c17d0fdda45f6b89">TrainingError</a> (size_t intervalSize, double minDifference)</td></tr>
<tr class="separator:a4abe5741e99fa123c17d0fdda45f6b89"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a37b74d5cff8620d934e90623766f7a7a" id="r_a37b74d5cff8620d934e90623766f7a7a"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_training_error.html#a37b74d5cff8620d934e90623766f7a7a">stop</a> (const <a class="el" href="structshark_1_1_single_objective_result_set.html">SingleObjectiveResultSet</a>&lt; PointType &gt; &amp;set)</td></tr>
<tr class="memdesc:a37b74d5cff8620d934e90623766f7a7a"><td class="mdescLeft">&#160;</td><td class="mdescRight">returns true if training should stop  <br /></td></tr>
<tr class="separator:a37b74d5cff8620d934e90623766f7a7a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a72f7fae3c19205d88603b085c83a2acb" id="r_a72f7fae3c19205d88603b085c83a2acb"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_training_error.html#a72f7fae3c19205d88603b085c83a2acb">reset</a> ()</td></tr>
<tr class="memdesc:a72f7fae3c19205d88603b085c83a2acb"><td class="mdescLeft">&#160;</td><td class="mdescRight">resets the internal state  <br /></td></tr>
<tr class="separator:a72f7fae3c19205d88603b085c83a2acb"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_classshark_1_1_abstract_stopping_criterion"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classshark_1_1_abstract_stopping_criterion')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classshark_1_1_abstract_stopping_criterion.html">shark::AbstractStoppingCriterion&lt; ResultSetT &gt;</a></td></tr>
<tr class="memitem:a74a1d1aea141cf2ad5d69e29cb90f25c inherit pub_methods_classshark_1_1_abstract_stopping_criterion" id="r_a74a1d1aea141cf2ad5d69e29cb90f25c"><td class="memItemLeft" align="right" valign="top">virtual bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_stopping_criterion.html#a74a1d1aea141cf2ad5d69e29cb90f25c">stop</a> (<a class="el" href="classshark_1_1_abstract_stopping_criterion.html#aa813314942f2e999ac8b9c985d001f96">ResultSet</a> const &amp;set)=0</td></tr>
<tr class="separator:a74a1d1aea141cf2ad5d69e29cb90f25c inherit pub_methods_classshark_1_1_abstract_stopping_criterion"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-attribs" name="pro-attribs"></a>
Protected Attributes</h2></td></tr>
<tr class="memitem:a2feb063411ad806f6cc25a54afec832d" id="r_a2feb063411ad806f6cc25a54afec832d"><td class="memItemLeft" align="right" valign="top">std::queue&lt; double &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_training_error.html#a2feb063411ad806f6cc25a54afec832d">m_interval</a></td></tr>
<tr class="memdesc:a2feb063411ad806f6cc25a54afec832d"><td class="mdescLeft">&#160;</td><td class="mdescRight">monitored training interval  <br /></td></tr>
<tr class="separator:a2feb063411ad806f6cc25a54afec832d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aeea2acf9ef31d1883c54cc6c9036c144" id="r_aeea2acf9ef31d1883c54cc6c9036c144"><td class="memItemLeft" align="right" valign="top">double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_training_error.html#aeea2acf9ef31d1883c54cc6c9036c144">m_minDifference</a></td></tr>
<tr class="memdesc:aeea2acf9ef31d1883c54cc6c9036c144"><td class="mdescLeft">&#160;</td><td class="mdescRight">minmum difference allowed  <br /></td></tr>
<tr class="separator:aeea2acf9ef31d1883c54cc6c9036c144"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a66fc104b694c058f3a7e3ba7d9decc30" id="r_a66fc104b694c058f3a7e3ba7d9decc30"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_training_error.html#a66fc104b694c058f3a7e3ba7d9decc30">m_intervalSize</a></td></tr>
<tr class="memdesc:a66fc104b694c058f3a7e3ba7d9decc30"><td class="mdescLeft">&#160;</td><td class="mdescRight">size of the interval  <br /></td></tr>
<tr class="separator:a66fc104b694c058f3a7e3ba7d9decc30"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
Additional Inherited Members</h2></td></tr>
<tr class="inherit_header pub_types_classshark_1_1_abstract_stopping_criterion"><td colspan="2" onclick="javascript:toggleInherit('pub_types_classshark_1_1_abstract_stopping_criterion')"><img src="closed.png" alt="-"/>&#160;Public Types inherited from <a class="el" href="classshark_1_1_abstract_stopping_criterion.html">shark::AbstractStoppingCriterion&lt; ResultSetT &gt;</a></td></tr>
<tr class="memitem:aa813314942f2e999ac8b9c985d001f96 inherit pub_types_classshark_1_1_abstract_stopping_criterion" id="r_aa813314942f2e999ac8b9c985d001f96"><td class="memItemLeft" align="right" valign="top">typedef ResultSetT&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_stopping_criterion.html#aa813314942f2e999ac8b9c985d001f96">ResultSet</a></td></tr>
<tr class="separator:aa813314942f2e999ac8b9c985d001f96 inherit pub_types_classshark_1_1_abstract_stopping_criterion"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><div class="compoundTemplParams">template&lt;class PointType = RealVector&gt;<br />
class shark::TrainingError&lt; PointType &gt;</div><p>This stopping criterion tracks the improvement of the error function of the training error over an interval of iterations. </p>
<p>If at one point, the difference between the error values of the beginning and the end of the interval are smaller than a certain value, this stopping criterion assumes convergence and stops. Of course, this may be misleading, when the algorithm temporarily gets stuck at a saddle point of the error surface. The functions assumes that the algorithm is minimizing. For details, see:</p>
<p>Lutz Prechelt. Early Stopping - but when? In Genevieve B. Orr and Klaus-Robert Müller: Neural Networks: Tricks of the Trade, volume 1524 of LNCS, Springer, 1997. </p>

<p class="definition">Definition at line <a class="el" href="_training_error_8h_source.html#l00055">55</a> of file <a class="el" href="_training_error_8h_source.html">TrainingError.h</a>.</p>
</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a4abe5741e99fa123c17d0fdda45f6b89">&#9670;&#160;</a></span>TrainingError()</h2>

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template&lt;class PointType  = RealVector&gt; </div>
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          <td class="memname"><a class="el" href="classshark_1_1_training_error.html">shark::TrainingError</a>&lt; PointType &gt;::TrainingError </td>
          <td>(</td>
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          <td class="paramname"><em>intervalSize</em>, </td>
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<p>constructs the <a class="el" href="classshark_1_1_training_error.html" title="This stopping criterion tracks the improvement of the error function of the training error over an in...">TrainingError</a> generalization loss </p><dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">intervalSize</td><td>size of the interval over which the progress is monitored </td></tr>
    <tr><td class="paramname">minDifference</td><td>minimum difference between start and end of the interval allowed before training stops </td></tr>
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</dl>

<p class="definition">Definition at line <a class="el" href="_training_error_8h_source.html#l00060">60</a> of file <a class="el" href="_training_error_8h_source.html">TrainingError.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_training_error.html#a66fc104b694c058f3a7e3ba7d9decc30">shark::TrainingError&lt; PointType &gt;::m_intervalSize</a>, <a class="el" href="classshark_1_1_training_error.html#aeea2acf9ef31d1883c54cc6c9036c144">shark::TrainingError&lt; PointType &gt;::m_minDifference</a>, and <a class="el" href="classshark_1_1_training_error.html#a72f7fae3c19205d88603b085c83a2acb">shark::TrainingError&lt; PointType &gt;::reset()</a>.</p>

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<h2 class="groupheader">Member Function Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a72f7fae3c19205d88603b085c83a2acb">&#9670;&#160;</a></span>reset()</h2>

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template&lt;class PointType  = RealVector&gt; </div>
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          <td class="memname">void <a class="el" href="classshark_1_1_training_error.html">shark::TrainingError</a>&lt; PointType &gt;::reset </td>
          <td>(</td>
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<p>resets the internal state </p>

<p>Implements <a class="el" href="classshark_1_1_abstract_stopping_criterion.html#a2cd08d7ec1a7627ad17ce451b8ba915c">shark::AbstractStoppingCriterion&lt; ResultSetT &gt;</a>.</p>

<p class="definition">Definition at line <a class="el" href="_training_error_8h_source.html#l00074">74</a> of file <a class="el" href="_training_error_8h_source.html">TrainingError.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_training_error.html#a2feb063411ad806f6cc25a54afec832d">shark::TrainingError&lt; PointType &gt;::m_interval</a>, and <a class="el" href="classshark_1_1_training_error.html#a66fc104b694c058f3a7e3ba7d9decc30">shark::TrainingError&lt; PointType &gt;::m_intervalSize</a>.</p>

<p class="reference">Referenced by <a class="el" href="classshark_1_1_training_error.html#a4abe5741e99fa123c17d0fdda45f6b89">shark::TrainingError&lt; PointType &gt;::TrainingError()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a37b74d5cff8620d934e90623766f7a7a">&#9670;&#160;</a></span>stop()</h2>

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template&lt;class PointType  = RealVector&gt; </div>
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          <td>(</td>
          <td class="paramtype">const <a class="el" href="structshark_1_1_single_objective_result_set.html">SingleObjectiveResultSet</a>&lt; PointType &gt; &amp;&#160;</td>
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<p>returns true if training should stop </p>

<p class="definition">Definition at line <a class="el" href="_training_error_8h_source.html#l00066">66</a> of file <a class="el" href="_training_error_8h_source.html">TrainingError.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_training_error.html#a2feb063411ad806f6cc25a54afec832d">shark::TrainingError&lt; PointType &gt;::m_interval</a>, <a class="el" href="classshark_1_1_training_error.html#aeea2acf9ef31d1883c54cc6c9036c144">shark::TrainingError&lt; PointType &gt;::m_minDifference</a>, and <a class="el" href="structshark_1_1_result_set.html#abfb2c7bc8ee3b184bbef15cb250ead50">shark::ResultSet&lt; SearchPointT, ResultT &gt;::value</a>.</p>

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<h2 class="groupheader">Member Data Documentation</h2>
<a id="a2feb063411ad806f6cc25a54afec832d" name="a2feb063411ad806f6cc25a54afec832d"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a2feb063411ad806f6cc25a54afec832d">&#9670;&#160;</a></span>m_interval</h2>

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template&lt;class PointType  = RealVector&gt; </div>
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<p>monitored training interval </p>

<p class="definition">Definition at line <a class="el" href="_training_error_8h_source.html#l00082">82</a> of file <a class="el" href="_training_error_8h_source.html">TrainingError.h</a>.</p>

<p class="reference">Referenced by <a class="el" href="classshark_1_1_training_error.html#a72f7fae3c19205d88603b085c83a2acb">shark::TrainingError&lt; PointType &gt;::reset()</a>, and <a class="el" href="classshark_1_1_training_error.html#a37b74d5cff8620d934e90623766f7a7a">shark::TrainingError&lt; PointType &gt;::stop()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a66fc104b694c058f3a7e3ba7d9decc30">&#9670;&#160;</a></span>m_intervalSize</h2>

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<p>size of the interval </p>

<p class="definition">Definition at line <a class="el" href="_training_error_8h_source.html#l00086">86</a> of file <a class="el" href="_training_error_8h_source.html">TrainingError.h</a>.</p>

<p class="reference">Referenced by <a class="el" href="classshark_1_1_training_error.html#a72f7fae3c19205d88603b085c83a2acb">shark::TrainingError&lt; PointType &gt;::reset()</a>, and <a class="el" href="classshark_1_1_training_error.html#a4abe5741e99fa123c17d0fdda45f6b89">shark::TrainingError&lt; PointType &gt;::TrainingError()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#aeea2acf9ef31d1883c54cc6c9036c144">&#9670;&#160;</a></span>m_minDifference</h2>

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template&lt;class PointType  = RealVector&gt; </div>
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          <td class="memname">double <a class="el" href="classshark_1_1_training_error.html">shark::TrainingError</a>&lt; PointType &gt;::m_minDifference</td>
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<p>minmum difference allowed </p>

<p class="definition">Definition at line <a class="el" href="_training_error_8h_source.html#l00084">84</a> of file <a class="el" href="_training_error_8h_source.html">TrainingError.h</a>.</p>

<p class="reference">Referenced by <a class="el" href="classshark_1_1_training_error.html#a37b74d5cff8620d934e90623766f7a7a">shark::TrainingError&lt; PointType &gt;::stop()</a>, and <a class="el" href="classshark_1_1_training_error.html#a4abe5741e99fa123c17d0fdda45f6b89">shark::TrainingError&lt; PointType &gt;::TrainingError()</a>.</p>

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<hr/>The documentation for this class was generated from the following file:<ul>
<li>include/shark/Algorithms/StoppingCriteria/<a class="el" href="_training_error_8h_source.html">TrainingError.h</a></li>
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